Application of Artificial Intelligence Control of HVDC Transmission System
DOI:
https://doi.org/10.9734/bpi/ramrcs/v3/5276FKeywords:
HVDC transmission, CIGRÉ benchmark model, Faults in HVDC system, Proportional integral (PI) controller, Fuzzy logic controller (FLC)Abstract
To handle bulk of power, the AC power transmission is not economical over long distance. High-voltage direct current (HVDC) transmission system is selected as the alternative not only in economic aspects but also in stability point of view. But the operation and control of HVDC links pose a challenge for the designers to choose the proper control strategy under various operating conditions. Traditionally, PI controllers are used for the rectifier current control of the HVDC system, but due to fixed proportional (P) and integral (I) gains, these controllers can perform well only over a limited operating range. However, in controlling a nonlinear plant such as the firing angle of the rectifier side in HVDC system, the model controls such as fuzzy logic controllers show better performance to the dynamic disturbances than traditional PI controllers. The CIGRÉ model as one of the conventional methods has been studied and improves the stability HVDC system.
